Dong Jin Im

1.4k total citations
62 papers, 985 citations indexed

About

Dong Jin Im is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Dong Jin Im has authored 62 papers receiving a total of 985 indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Radiology, Nuclear Medicine and Imaging, 28 papers in Biomedical Engineering and 23 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Dong Jin Im's work include Cardiac Imaging and Diagnostics (35 papers), Advanced X-ray and CT Imaging (28 papers) and Advanced MRI Techniques and Applications (15 papers). Dong Jin Im is often cited by papers focused on Cardiac Imaging and Diagnostics (35 papers), Advanced X-ray and CT Imaging (28 papers) and Advanced MRI Techniques and Applications (15 papers). Dong Jin Im collaborates with scholars based in South Korea, United States and Russia. Dong Jin Im's co-authors include Jin Hur, Yoo Jin Hong, Byoung Wook Choi, Young Jin Kim, Young Joo Suh, Hye‐Jeong Lee, Suyon Chang, Kyunghwa Han, Jin Young Kim and Chul Hwan Park and has published in prestigious journals such as PLoS ONE, Scientific Reports and Radiology.

In The Last Decade

Dong Jin Im

58 papers receiving 972 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Dong Jin Im South Korea 17 604 383 280 232 152 62 985
Pál Surányi United States 18 762 1.3× 347 0.9× 420 1.5× 197 0.8× 151 1.0× 90 1.1k
Ji Eun Nam South Korea 14 516 0.9× 444 1.2× 156 0.6× 408 1.8× 129 0.8× 34 974
Riccardo Cau Italy 19 458 0.8× 511 1.3× 110 0.4× 205 0.9× 109 0.7× 84 914
Thomas B. Ivanc United States 11 286 0.5× 178 0.5× 238 0.8× 242 1.0× 65 0.4× 22 681
Wolfgang Wuest Germany 23 870 1.4× 199 0.5× 545 1.9× 164 0.7× 86 0.6× 73 1.2k
Ullrich Ebersberger Germany 24 1.2k 2.0× 564 1.5× 735 2.6× 149 0.6× 88 0.6× 72 1.6k
Hans‐Marc J. Siebelink Netherlands 18 597 1.0× 828 2.2× 97 0.3× 212 0.9× 149 1.0× 43 1.2k
Takayuki Abe Japan 8 303 0.5× 216 0.6× 226 0.8× 373 1.6× 44 0.3× 25 705
Pietro Spagnolo Italy 21 400 0.7× 789 2.1× 141 0.5× 302 1.3× 537 3.5× 72 1.2k
Nadine Kawel United States 15 796 1.3× 870 2.3× 144 0.5× 102 0.4× 149 1.0× 25 1.3k

Countries citing papers authored by Dong Jin Im

Since Specialization
Citations

This map shows the geographic impact of Dong Jin Im's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Dong Jin Im with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dong Jin Im more than expected).

Fields of papers citing papers by Dong Jin Im

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dong Jin Im. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Dong Jin Im. The network helps show where Dong Jin Im may publish in the future.

Co-authorship network of co-authors of Dong Jin Im

This figure shows the co-authorship network connecting the top 25 collaborators of Dong Jin Im. A scholar is included among the top collaborators of Dong Jin Im based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dong Jin Im. Dong Jin Im is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Im, Dong Jin, Yoo Jin Hong, Byoung Wook Choi, et al.. (2024). Feasibility of the Threshold-Based Quantification of Myocardial Fibrosis on Cardiac CT as a Prognostic Marker in Nonischemic Dilated Cardiomyopathy. Korean Journal of Radiology. 25(6). 540–540. 2 indexed citations
2.
Kim, Hwiyoung, Kye Ho Lee, Kyunghwa Han, et al.. (2023). Development and Validation of a Deep Learning–Based Synthetic Bone-Suppressed Model for Pulmonary Nodule Detection in Chest Radiographs. JAMA Network Open. 6(1). e2253820–e2253820. 9 indexed citations
3.
Lee, Dong Keon, Jaehoon Oh, Tae Hyun Kim, et al.. (2022). Detection of acute thoracic aortic dissection based on plain chest radiography and a residual neural network (Resnet). Scientific Reports. 12(1). 21884–21884. 10 indexed citations
4.
5.
Lee, Ji Won, Jin Young Kim, Kyunghwa Han, et al.. (2021). Coronary CT Angiography CAD-RADS versus Coronary Artery Calcium Score in Patients with Acute Chest Pain. Radiology. 301(1). 81–90. 16 indexed citations
6.
Kim, Pan Ki, Yoo Jin Hong, Hyo Sup Shim, et al.. (2021). Serial T1 mapping of right ventricle in pulmonary hypertension: comparison with histology in an animal study. Journal of Cardiovascular Magnetic Resonance. 23(1). 64–64. 7 indexed citations
7.
Im, Dong Jin, Jong‐Chan Youn, Hye‐Jeong Lee, et al.. (2020). Role of Cardiac Computed Tomography for Etiology Evaluation of Newly Diagnosed Heart Failure with Reduced Ejection Fraction. Journal of Clinical Medicine. 9(7). 2270–2270. 8 indexed citations
8.
9.
Kim, Woojin, Mun-Joo Bae, Chan Joo Lee, et al.. (2019). Cohort Profile: Firefighter Research on the Enhancement of Safety and Health (FRESH), a Prospective Cohort Study on Korean Firefighters. Yonsei Medical Journal. 61(1). 103–103. 18 indexed citations
10.
Im, Dong Jin, Eun‐Ah Park, Eun Young Kim, et al.. (2019). Guidelines for Cardiovascular Magnetic Resonance Imaging from the Korean Society of Cardiovascular Imaging—Part 3: Perfusion, Delayed Enhancement, and T1- and T2 Mapping. Korean Journal of Radiology. 20(12). 1562–1562. 12 indexed citations
11.
Yang, Dong Hyun, Dong Jin Im, Eun Young Kim, et al.. (2019). Guidelines for Cardiovascular Magnetic Resonance Imaging from the Korean Society of Cardiovascular Imaging—Part 2: Interpretation of Cine, Flow, and Angiography Data. Korean Journal of Radiology. 20(11). 1477–1477. 14 indexed citations
12.
Suh, Young Joo, Young Jin Kim, Jin Young Kim, et al.. (2017). A whole-heart motion-correction algorithm: Effects on CT image quality and diagnostic accuracy of mechanical valve prosthesis abnormalities. Journal of cardiovascular computed tomography. 11(6). 474–481. 8 indexed citations
13.
Chang, Suyon, Jin Hur, Dong Jin Im, et al.. (2016). Volume-based quantification using dual-energy computed tomography in the differentiation of thymic epithelial tumours: an initial experience. European Radiology. 27(5). 1992–2001. 28 indexed citations
14.
Cho, Arthur, Jin Hur, Yong Wha Moon, et al.. (2016). Correlation between EGFR gene mutation, cytologic tumor markers, 18F-FDG uptake in non-small cell lung cancer. BMC Cancer. 16(1). 224–224. 61 indexed citations
15.
Suh, Young Joo, Sak Lee, Dong Jin Im, et al.. (2016). Added value of cardiac computed tomography for evaluation of mechanical aortic valve: Emphasis on evaluation of pannus with surgical findings as standard reference. International Journal of Cardiology. 214. 454–460. 22 indexed citations
16.
Hong, Sae Rom, Suyon Chang, Dong Jin Im, et al.. (2016). Feasibility of Single Scan for Simultaneous Evaluation of Regional Krypton and Iodine Concentrations with Dual-Energy CT: An Experimental Study. Radiology. 281(2). 597–605. 9 indexed citations
17.
18.
Suh, Young Joo, Yoo Jin Hong, Hye‐Jeong Lee, et al.. (2015). Prognostic value of SYNTAX score based on coronary computed tomography angiography. International Journal of Cardiology. 199. 460–466. 13 indexed citations
19.
Cho, Arthur, Jin Hur, Yoo Jin Hong, et al.. (2015). Prognostic impact of cytological fluid tumor markers in non-small cell lung cancer. Tumor Biology. 37(3). 3205–3213. 4 indexed citations
20.
Suh, Young Joo, Young Jin Kim, Yoo Jin Hong, et al.. (2015). Factors affecting computed tomography image quality for assessment of mechanical aortic valves. International journal of cardiac imaging. 32(S1). 63–71. 4 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Pál Surányi Breakdown of academic impact, for papers by Ji Eun Nam Breakdown of academic impact, for papers by Riccardo Cau Breakdown of academic impact, for papers by Thomas B. Ivanc Breakdown of academic impact, for papers by Wolfgang Wuest Breakdown of academic impact, for papers by Ullrich Ebersberger Breakdown of academic impact, for papers by Hans‐Marc J. Siebelink Breakdown of academic impact, for papers by Takayuki Abe Breakdown of academic impact, for papers by Pietro Spagnolo Breakdown of academic impact, for papers by Nadine Kawel
Rankless by CCL
2026